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SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
13 years 9 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato
DEBS
2008
ACM
15 years 8 months ago
Speculative out-of-order event processing with software transaction memory
In event stream applications, events flow through a network of components that perform various types of operations, e.g., filtering, aggregation, transformation. When the operatio...
Andrey Brito, Christof Fetzer, Heiko Sturzrehm, Pa...
188
Voted
SIGSOFT
2008
ACM
16 years 7 months ago
Javert: fully automatic mining of general temporal properties from dynamic traces
Program specifications are important for many tasks during software design, development, and maintenance. Among these, temporal specifications are particularly useful. They expres...
Mark Gabel, Zhendong Su
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 8 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
171
Voted
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
16 years 1 months ago
An E-Market Framework to Determine the Strength of Business Relationships between Intelligent Agents
When an agent enters in an e-Market for the first time, it has no historical information that can be used to determine the strength of business relationship with participant agen...
Khandaker Shahidul Islam